Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment
One of the main measures in order to financial and life damages reduction is a production of flood susceptibility mapping. In the current research, Shannon entropy has been studied to determine the flood probability and susceptibility mapping. In this research 211, flood locations were prepared. 211...
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| Format: | Article |
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University of Sistan and Baluchestan
2016-12-01
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| Series: | مخاطرات محیط طبیعی |
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| Online Access: | https://jneh.usb.ac.ir/article_2958_194bdfec788909af05854bfa750dca7c.pdf |
| _version_ | 1797805292927320064 |
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| author | Ebrahim Nohani fariba darabi edris maroofinia khebat khosravi |
| author_facet | Ebrahim Nohani fariba darabi edris maroofinia khebat khosravi |
| author_sort | Ebrahim Nohani |
| collection | DOAJ |
| description | One of the main measures in order to financial and life damages reduction is a production of flood susceptibility mapping. In the current research, Shannon entropy has been studied to determine the flood probability and susceptibility mapping. In this research 211, flood locations were prepared. 211 flood locations are divided into two categories based on random selection: 70 % for training and 30% for validation of final map. In the next step, 10 flood conditioning factors such as slope, plan curvature, distance from the river, altitude, rainfall, stream power index, topographic wetness index, lithology, land use and NDVI was selected. By using the Shannon entropy the weight of each factor in flooding have been determined. ROC curve has been drowned and area under the curve (AUC) was determined for validation of flood susceptibility mapping by success rate and prediction rate. The result showed that AUC for success rate in entropy model was 92.53% with a prediction accuracy of 91.42%. The high accuracy of the Shannon entropy model showed that this model is proper for flood susceptibility mapping. |
| first_indexed | 2024-03-13T05:49:53Z |
| format | Article |
| id | doaj.art-6c38aceeb14e4c10a3c3c64766a9ceba |
| institution | Directory Open Access Journal |
| issn | 2676-4377 2676-4385 |
| language | fas |
| last_indexed | 2024-03-13T05:49:53Z |
| publishDate | 2016-12-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | مخاطرات محیط طبیعی |
| spelling | doaj.art-6c38aceeb14e4c10a3c3c64766a9ceba2023-06-13T19:51:47ZfasUniversity of Sistan and Baluchestanمخاطرات محیط طبیعی2676-43772676-43852016-12-015109911610.22111/jneh.2017.29582958Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchmentEbrahim Nohani0fariba darabi1edris maroofinia2khebat khosravi3Assistant professor, Department of Hydraulic Structures, Young Researchers and Elite Club, Dezful Branch, Islamic Azad University, Dezful, IranMS Student of watershed management engineering, faculty of natural resources, Sari agricultural and natural resources,Malayer University, Hamedan, IranYoung Researchers and Elite Club, Mahabad Branch, Islamic Azad University, Mahabad, IranPh.D Student of watershed management engineering, faculty of natural resources, Sari agricultural and natural resources, Mazandaran, IranOne of the main measures in order to financial and life damages reduction is a production of flood susceptibility mapping. In the current research, Shannon entropy has been studied to determine the flood probability and susceptibility mapping. In this research 211, flood locations were prepared. 211 flood locations are divided into two categories based on random selection: 70 % for training and 30% for validation of final map. In the next step, 10 flood conditioning factors such as slope, plan curvature, distance from the river, altitude, rainfall, stream power index, topographic wetness index, lithology, land use and NDVI was selected. By using the Shannon entropy the weight of each factor in flooding have been determined. ROC curve has been drowned and area under the curve (AUC) was determined for validation of flood susceptibility mapping by success rate and prediction rate. The result showed that AUC for success rate in entropy model was 92.53% with a prediction accuracy of 91.42%. The high accuracy of the Shannon entropy model showed that this model is proper for flood susceptibility mapping.https://jneh.usb.ac.ir/article_2958_194bdfec788909af05854bfa750dca7c.pdfshannon entropyharazflood susceptibilityauc |
| spellingShingle | Ebrahim Nohani fariba darabi edris maroofinia khebat khosravi Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment مخاطرات محیط طبیعی shannon entropy haraz flood susceptibility auc |
| title | Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment |
| title_full | Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment |
| title_fullStr | Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment |
| title_full_unstemmed | Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment |
| title_short | Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment |
| title_sort | evaluation of shannon entropy in order to flood probability and susceptibility mapping at haraz catchment |
| topic | shannon entropy haraz flood susceptibility auc |
| url | https://jneh.usb.ac.ir/article_2958_194bdfec788909af05854bfa750dca7c.pdf |
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